A interview-style discussion with Ivett Bene, Knowledge and Expertise Management Coordinator, and CEO and Co-founder of C-SYNC in the Netherlands, who shares insights into KM in Europe, along with some of today's panellists.

Chris Zielinski looks at applications of AI in scientific communication. Dave Clarke discusses applying the information management perspective to AI giving concrete examples. Jakub Zavrel discusses how multi-lingual and cross-lingual semantic content access works with vector embeddings, what pitfalls to avoid, and how Generative LLMs for answering question and summarising can be steered for effective information access for European organisations. He shares stories from customer projects.

What’s next for our working and knowledge sharing environment? Hybrid, remote, virtual? With so many new technologies and practices, organisations need to find effective ways to experiment with different ways of working and adapt at speed while keeping a careful eye on the longer term impacts of change today.

Victoria Ward and Gary Kass discuss the urgent need to strengthen foresight mindsets and skillsets for effective heutagogic (self-directed, peer-to-peer and sideways learning) conditions in the era of AI. In a video shown during the session, Dion Hinchcliffe addresses recent predictions that businesses in countries that widely adopt AI are expected to increase their GDP by 26% by 2035, and that the global economy will benefit by a staggering $15.7 trillion in both revenue and savings by 2030, thanks to the transformative power of AI. The International Labour Organization notes that by 2030, the global labour force is projected to reach 3.5 billion, but 85% of the jobs that will exist then haven’t been invented yet. These figures underscore a transformative shift in the nature of work, propelled by technological advancements, changing demographics, and evolving societal norms. They highlight the urgency for individuals and organisations alike to adapt, upskill, and rethink traditional employment paradigms.

As knowledge workers and KM leaders, embracing generative AI technology can deliver a wide range of new possibilities for an organisation, helping it to stay competitive in an ever-changing marketplace while achieving greater efficiency, innovation, and growth. Learn what Dion Hinchcliffe’s research of CEOs shows and get our insights on delivering the value of generative AI in the enterprise while navigating the challenges.